M. Ayub

4.3k citations
183 papers · 3.8k · h-index 35

Impact in

Papers in

M. Ayub

177 papers receiving 3.6k citations

Peers

M. Ayub
Comparison fields: 5 of 103
  • Modeling and Simulation 734
  • Computational Mechanics 1.9k
  • Fluid Flow and Transfer Processes 405
  • Biomedical Engineering 2.9k
  • Numerical Analysis 294
Replace Essam R. El‐Zahar with:
Essam R. El‐Zahar Saudi Arabia
E. Magyari Switzerland
Wasfı Shatanawi Jordan
Abdelhalim Ebaid Saudi Arabia
S. Asghar Pakistan
J.I. Ramos Spain
Muhammad Imran Asjad Pakistan
Krishnendu Bhattacharyya India
Stanford Shateyi South Africa
Ali Saleh Alshomrani Saudi Arabia
M. Ayub relative to Essam R. El‐Zahar Saudi Arabia Essam R. El‐Zahar's profile →
Citations per field
00.5×10×20×30×36.5×
Essam R. El‐Zahar · 1×
Citations per year

Countries citing papers authored by M. Ayub

Since Specialization
Citations

This map shows the geographic impact of M. Ayub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Ayub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ayub more than expected).

Fields of papers citing papers by M. Ayub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ayub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Ayub. The network helps show where M. Ayub may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Ayub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ayub Line = papers co-authored together M. Ayub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003185
2 2003179
3 2016112
4 2016104
5 2004102
6 200791
7 200383
8 201583
9 201778
10 201673
11 201673
12 202268
13 200664
14 201661
15 200761
16 201955
17 200654
18 201754
19 200653
20 200550

About M. Ayub

M. Ayub is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (84 papers), Fluid Dynamics and Turbulent Flows (53 papers), Heat Transfer Mechanisms (48 papers), Acoustic Wave Phenomena Research (23 papers), Heat Transfer and Optimization (20 papers), Electromagnetic Scattering and Analysis (17 papers), Rheology and Fluid Dynamics Studies (16 papers) and Dust and Plasma Wave Phenomena (14 papers). The work is most often cited by research in Modeling and Simulation (734 citations), Computational Mechanics (1.9k citations), Fluid Flow and Transfer Processes (405 citations), Biomedical Engineering (2.9k citations) and Numerical Analysis (294 citations). M. Ayub has collaborated with scholars based in Pakistan, Saudi Arabia and South Africa. Frequent co-authors include Tasawar Hayat, Masood Khan, Misbah Ijaz, A. Alsaedi, Ahmed Alsaedi, M. Sajid, M. M. Bhatti, Tehseen Abbas, Amer Rasheed and M. Waqas. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Physics of Plasmas, Heliyon, Waves in Random and Complex Media and Neural Computing and Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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